3 resultados para Optimal reactive source expansion
Resumo:
Introduction: Anatomical variations of the extensor tendons to the fingers are of great clinical interest, due to the relatively high frequency of tendon injury in clinical practice. Material and methods: During routine dissection of the right upper limb of a 67-year-old female preserved corpse, the extensor indicis proprius (EIP) muscle belly originated 3 independent tendons, each with a separate fascial sheath, forming a triple EIP tendon. There was a larger tendon, which occupied a central position, that represented the usual single EIP tendon. In addition, there were two thinner radial and ulnar accessory EIP tendons. The radial-EIP tendon crossed deep to the extensor digitorum communis (EDC) tendon to the index finger in the distal half of the dorsum of the hand to reach the radial side of the extensor expansion hood of the index finger. Discussion: According to the literature, the frequency of a triple EIP tendon ranges from 0%, to as high as 7%, although most authors do not acknowledge the presence of this variant in their series. This variant of the EIP tendon, in which the radial-EIP terminated laterally to the termination of the tendon of the EDC to the index finger, may be a source of confusion intraoperatively, as the EIP tendon has traditionally been identified on the basis of its ulnar location with respect to the EDC tendon. Conclusion: The possibility of a triple EIP tendon should certainly be born in mind by all surgeons when performing tendon repairs, tenoplasties or tendon transfers.
Resumo:
Objective: The epilepsy associated with the hypothalamic hamartomas constitutes a syndrome with peculiar seizures, usually refractory to medical therapy, mild cognitive delay, behavioural problems and multifocal spike activity in the scalp electroencephalogram (EEG). The cortical origin of spikes has been widely assumed but not specifically demonstrated. Methods: We present results of a source analysis of interictal spikes from 4 patients (age 2–25 years) with epilepsy and hypothalamic hamartoma, using EEG scalp recordings (32 electrodes) and realistic boundary element models constructed from volumetric magnetic resonance imaging (MRIs). Multifocal spike activity was the most common finding, distributed mainly over the frontal and temporal lobes. A spike classification based on scalp topography was done and averaging within each class performed to improve the signal to noise ratio. Single moving dipole models were used, as well as the Rap-MUSIC algorithm. Results: All spikes with good signal to noise ratio were best explained by initial deep sources in the neighbourhood of the hamartoma, with late sources located in the cortex. Not a single patient could have his spike activity explained by a combination of cortical sources. Conclusions: Overall, the results demonstrate a consistent origin of spike activity in the subcortical region in the neighbourhood of the hamartoma, with late spread to cortical areas.
Resumo:
INTRODUCTION: Insulin resistance is the pathophysiological key to explain metabolic syndrome. Although clearly useful, the Homeostasis Model Assessment index (an insulin resistance measurement) hasn't been systematically applied in clinical practice. One of the main reasons is the discrepancy in cut-off values reported in different populations. We sought to evaluate in a Portuguese population the ideal cut-off for Homeostasis Model Assessment index and assess its relationship with metabolic syndrome. MATERIAL AND METHODS: We selected a cohort of individuals admitted electively in a Cardiology ward with a BMI < 25 Kg/m2 and no abnormalities in glucose metabolism (fasting plasma glucose < 100 mg/dL and no diabetes). The 90th percentile of the Homeostasis Model Assessment index distribution was used to obtain the ideal cut-off for insulin resistance. We also selected a validation cohort of 300 individuals (no exclusion criteria applied). RESULTS: From 7 000 individuals, and after the exclusion criteria, there were left 1 784 individuals. The 90th percentile for Homeostasis Model Assessment index was 2.33. In the validation cohort, applying that cut-off, we have 49.3% of individuals with insulin resistance. However, only 69.9% of the metabolic syndrome patients had insulin resistance according to that cut-off. By ROC curve analysis, the ideal cut-off for metabolic syndrome is 2.41. Homeostasis Model Assessment index correlated with BMI (r = 0.371, p < 0.001) and is an independent predictor of the presence of metabolic syndrome (OR 19.4, 95% CI 6.6 - 57.2, p < 0.001). DISCUSSION: Our study showed that in a Portuguese population of patients admitted electively in a Cardiology ward, 2.33 is the Homeostasis Model Assessment index cut-off for insulin resistance and 2.41 for metabolic syndrome. CONCLUSION: Homeostasis Model Assessment index is directly correlated with BMI and is an independent predictor of metabolic syndrome.